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cs.RO2026
The Lie We Tell: Correcting the Euclidean Fallacy in Vision Language Action Policies via Score Matching on Tangent Space
Bing-Cheng Chuang, I-Hsuan Chu, Bor-Jiun Lin +3
Diffusion-based Vision-Language-Action policies achieve remarkable success in robotic manipulation, yet commit a fundamental geometric error we term the $\textbf{Euclidean Fallacy}…
cs.RO2026
ESPADA: Execution Speedup via Semantics Aware Demonstration Data Downsampling for Imitation Learning
Byung-ju Kim, Jinu Pahk, Chungwoo Lee +6
Behavior-cloning based visuomotor policies enable precise manipulation but often inherit the slow, cautious tempo of human demonstrations, limiting practical deployment. However, p…